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pro vyhledávání: '"Paul Helman"'
We present new Bayesian methodology for consumer sales forecasting. With a focus on multi-step ahead forecasting of daily sales of many supermarket items, we adapt dynamic count mixture models to forecast individual customer transactions, and introdu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8fddcb02437ddca0ef0b188b15d35d3
http://arxiv.org/abs/1808.04698
http://arxiv.org/abs/1808.04698
Publikováno v:
Structural and Multidisciplinary Optimization. 43:107-119
Many engineering design problems can be formulated as constrained optimization problems which often consist of many mixed equality and inequality constraints. In this article, a hybrid coevolutionary method is developed to solve constrained optimizat
Publikováno v:
International Journal of Information Security. 8:331-345
In a negative representation, a set of elements (the positive representation) is depicted by its complement set. That is, the elements in the positive representation are not explicitly stored, and those in the negative representation are. The concept
Autor:
Julie A. Hutt, Robert Veroff, Frank L. Gilfeather, Vikas Hamine, Paul Helman, Terry A. Loring, C. Rick Lyons
Publikováno v:
Computers in Biology and Medicine. 37:1539-1552
Ideally biosignatures can be detected at the early infection phase and used both for developing diagnostic patterns and for prognostic triage. Such biosignatures are important for vaccine validation and to provide risk stratification to a population
Publikováno v:
International Journal of Information Security. 6:403-415
A set DB of data elements can be represented in terms of its complement set, known as a negative database. That is, all of the elements not in DB are represented, and DB itself is not explicitly stored. This method of representing data has certain pr
Publikováno v:
Journal of Computational Biology. 11:581-615
We present new techniques for the application of a Bayesian network learning framework to the problem of classifying gene expression data. The focus on classification permits us to develop techniques that address in several ways the complexities of l
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 34:357-373
In anomaly detection, the normal behavior of a process is characterized by a model, and deviations from the model are called anomalies. In behavior-based approaches to anomaly detection, the model of normal behavior is constructed from an observed sa
Autor:
Paul Helman, Robert Veroff
Publikováno v:
Applied Mathematics and Computation. 120:175-194
Many formalisms have been proposed over the years to capture combinatorial optimization algorithms such as dynamic programming, branch and bound, and greedy. In 1989 Helman [9] presented a common formalism that captures dynamic programming and branch
Autor:
Rebecca Gore, Paul Helman
Publikováno v:
Journal of Intelligent Information Systems. 11:99-138
We consider the problem of prioritizing a collection of discrete pieces of information, or transactions. The goal is to rank the transactions in such a way that the user can best pursue a subset of the transactions in hopes of discovering those which
Autor:
J. Bhangoo, Paul Helman
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 27:449-466
This paper examines the problem of prioritizing actions under uncertainty. Our motivating applications come from the domain of data mining. Data mining problems present the user with a huge collection of individual items (e.g., abstracts, medical his